Correlation and regression analysis for seed cotton yield in cotton (Gossypium hirsutum L.)
Abstract
The success of cotton breeding programs depends on the relationship between yield and the criteria that can be used in indirect selection. The present study aimed to explore the relationships among yield components, earliness, fiber quality, and trash content traits. Five cotton cultivars were grown in two locations, Söke and Nazilli, in a Randomized Complete Block Design in 2023. Seed cotton yield was significantly and positively correlated with reflectance (0.53**), days to first flowering (0.37*), days to boll retention (0.35*), boll number per plant (0.64**), and boll weight (0.47**). Stepwise regression analysis and path analysis indicated that the boll number per plant, boll weight, and fiber fineness were the traits that contributed most highly to seed cotton yield. Earliness, spinning consistency, seed index, boll number per plant, uniformity index, short fiber content, elongation, reflectance, fiber fineness, and ginning out-turn explained 86.5% of the total variation in principal component analysis. In the biplot graph, reflectance, fiber fineness, boll number, boll weight, and earliness traits were located at similar coordinates to seed cotton yield. All analysis methods proved that the boll number and boll weight are the most important selection criteria for high cotton yield.
Keywords
Location, Multivariate analyses, Selection criteria, Variation
References
- Afiah, S. A. N., & Ghoneim, E. M. (2000). Correlation, stepwise and path coefficient analysis in Egyptian cotton under saline conditions. Arab Universities Journal of Agricultural Sciences, 8(2), 607-618.
- Ahmed, S., Shahid, M., Sultan, A., Rashid, M., & Kubar, M. S. (2026). Evaluation of different genotypes of cotton (Gossypium hirsutum L) under multi-environment and multi sowing time for stability of fiber quality and production; a comprehensive two-year study. Pakistan Journal of Botany, 58(2), 505-518.
- Ahuja, S. L., Dhayal, L. S., & Prakash, R. (2006). Correlation and path coefficient analysis of components in Gossypium hirsutum L. hybrids by usual and fibre quality grouping. Turkish Journal of Agriculture and Forestry, 30(5), 317-324.
- Altun, D., & Karademir, E. (2024). Determination of yield and yield criteria of different cotton lines and varieties. Journal of Adnan Menderes University Agricultural Faculty, 21(1), 37-44. https://doi.org/10.25308/aduziraat.1406419
- Araújo, L. F. D., Almeida, W. S. D., Bertini, C. H. C. D. M., Vidal Neto, F. D. C., & Bleicher, E. (2012). Correlations and path analysis in components of fiber yield in cultivars of upland cotton. Bragantia, 71(3), 328-335. https://doi.org/10.1590/S0006-87052012005000036
- Asar, Y. (2023). Performance of a new bias corrected estimator in beta regression model: A Monte Carlo study. Necmettin Erbakan University Journal of Science and Engineering, 5(2), 75-87. https://doi.org/10.47112/neufmbd.2023.11
- Balcı, Ş., Çınar, V. M., & Ünay, A. (2023). Performances of F3 and F4 Bulk Populations in Cotton (Gossypium hirsutum L.). Yuzuncu Yıl University Journal of Agricultural Sciences, 33(4), 534-542. https://doi.org/10.29133/yyutbd.1292327
- Baloch, M. J., Kumar, C., Jatoi, W. A., & Rind, I. H. (2014). Phenotypic correlation and regression analysis of yield and fibre traits in upland cotton (Gossypium hirsutum L.). Advances in Agriculture and Animal Sciences, 30(2), 135-146.
- Bozbek, T. (2006). Pamuk melez populasyonlarında verim bileşenlerinin kalıtımı ve genetik korelasyonların saptanması. Doktora Tezi. Aydın Adnan Menderes Üniversitesi Fen Bilimleri Enstitüsü, Aydın.
- Çakmak, F., Çinar, V. M., Balci, Ş., & Ünay, A. (2023). Yield and fiber quality balance in upland cotton (Gossypium hirsutum L.) breeding. Bangladesh Journal of Botany, 52(2), 283-290. https://doi.org/10.3329/bjb.v52i2.67025


